u/Affectionate_Major87

Instead of just scaffolding, it runs a full pipeline:
plan → generate → write → evaluate → (optional) fix → learn

Example:
deep build "Flask app with SQLite"

You can then:

• update → modify the existing project
• fix → auto-repair issues using saved context
• ask → use it as a technical assistant

Each project includes a .deep/ folder with:

• original task
• generated plan
• evaluation results

So the tool can operate with context instead of starting from scratch each time.

Also includes:

• REPL interface
• debug mode (logs prompts, tokens, phases)
• local web UI (can be used from your phone)

Repo:
https://github.com/cynchro/deepseekCLI

Curious how others are handling evaluation + iteration in LLM-based dev tools.